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Ai Trainee Jobs in Michigan (NOW HIRING)

PLACE

Real Estate Agent Trainee

Ann Arbor, MI · On-site

$75K - $140K/yr

Qualified leads supported by AI-powered ISA services * Extensive administrative and operational support * Advanced technology and marketing resources * Professional office spaces * Potential health ...

Magna

Plant Trainer

Newaygo, MI

Engage directly with trainees to facilitate their skills development. The primary goal is to foster ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

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$37.9K

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How much do ai trainee jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai trainee in Michigan is $37,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,800.00 and $44,500.00 per year, depending on experience, location, and employer.

What is an AI trainee?

An AI trainee is typically an entry-level position or internship where individuals learn about artificial intelligence concepts, tools, and practical applications under the guidance of experienced professionals. AI trainees may work on projects involving data analysis, machine learning model development, and algorithm testing. The role is designed to build foundational skills in programming, data handling, and AI methodologies, preparing trainees for more advanced positions in the field. AI trainees often collaborate with teams, participate in research, and contribute to real-world solutions while gaining hands-on experience.

What are the key skills and qualifications needed to thrive as an AI trainee?

To thrive as an AI Trainee, you need a solid background in mathematics, programming (often Python), and a foundational understanding of machine learning concepts, usually supported by a relevant degree or coursework. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as version control systems like Git, is typically expected. Curiosity, problem-solving ability, and a willingness to learn rapidly help distinguish top candidates in this role. These skills and qualities are vital for effectively contributing to AI projects, adapting to evolving technologies, and building a strong foundation for a future career in artificial intelligence.

What are some common challenges faced by AI trainees during their first year, and how can they overcome them?

AI Trainees often encounter challenges such as adapting to rapidly evolving technologies, bridging gaps between academic theory and practical application, and collaborating effectively with interdisciplinary teams. To overcome these, it's helpful to stay proactive in learning, seek mentorship from experienced colleagues, and participate in hands-on projects. Embracing a growth mindset and regularly engaging with industry resources can also smooth the transition and accelerate professional development.

What kind of jobs can you get with AI training?

AI training prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, and AI researcher. These jobs involve developing, implementing, and maintaining AI models, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow.

What are the most commonly searched types of Ai jobs in Michigan?

The most popular types of Ai jobs in Michigan are:

Ai Trainee jobs near you
Infographic showing various Ai Trainee job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $37,941 per year, or $18.2 per hour.

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI

Full-time

Re-posted 10 days ago

Job description

Henry Ford Health

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.

Key Responsibilities

  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications

  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

  • Demonstrated ability-or strong potential-to secure external research funding.

  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:

Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:

Dr. Qing-Sheng Mi, MD, PhD

Director, Center for Cutaneous Biology and Immunology (CCBI)

Email: qmi1@hfhs.org

Equal Employment Opportunity/Affirmative Action Employer

Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable

Apply